Evidence map›Paper›PMID 31958471›Full record

ReviewPharmacology, biochemistry, and behavior2020

Electrophysiological biomarkers of antidepressant response to ketamine in treatment-resistant depression: Gamma power and long-term potentiation.

Jessica R Gilbert, Carlos A Zarate

Open access · greenAbstract readReview
In one paragraph

Review in Pharmacology, biochemistry, and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 65 citations in OpenAlex.

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  5. Identification of an optimal dose of intravenous ketamine for late-life treatment-resistant depression: a Bayesian adaptive randomization trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Trial
  6. Article
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  8. Review
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  14. Clinical and electrophysiological correlates of hopelessness in the context of suicide riskEuropean neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2024
    Article
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  16. Review
  17. Article
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  19. Psychedelics and neural plasticity.BMC neuroscience · 2023
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jessica R GilbertExperimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA. Electronic address: jessica.gilbert@nih.gov.
Carlos A ZarateExperimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
National Institutes of Health · US

Funding

Glutamatergic Modulators for Rapid & Sustained Antidepressant EffectZIAMH002857 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2009 to 2025
$55.0M
Target validation of novel therapeutic agents in mood disordersZIAMH002927 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2010 to 2025
$37.1M
Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIA MH002857
6 · The paper itself

Abstract

Over the last two decades, the discovery of ketamine's antidepressant properties has galvanized research into the neurobiology of treatment-resistant depression. Nevertheless, the mechanism of action underlying antidepressant response to ketamine remains unclear. This study reviews electrophysiological studies of ketamine's effects in individuals with depression as well as healthy controls, with a focus on two putative markers of synaptic potentiation: gamma oscillations and long-term potentiation. The review focuses on: 1) measures of gamma oscillations and power and their relationship to both acute, psychotomimetic drug effects as well as delayed antidepressant response in mood disorders; 2) changes in long-term potentiation as a promising measure of synaptic potentiation following ketamine administration; and 3) recent efforts to model antidepressant response to ketamine using novel computational modeling techniques, in particular the application of dynamic causal modeling to electrophysiological data. The latter promises to better characterize the mechanisms underlying ketamine's antidepressant effects.

Indexed as

AnimalsAntidepressive AgentsBiomarkersDepressive Disorder, Treatment-ResistantGamma RhythmHumansKetamineLong-Term PotentiationSynaptic PotentialsAntidepressive AgentsBiomarkersKetamineDynamic causal modelingElectrophysiologyGammaKetamineLong-term potentiation

Identifiers

PMID31958471
PMCPMC6997043
OpenAlexW2999453539

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.